Task
Supervised Classification on mushroom

Supervised Classification on mushroom

Task 1788 Supervised Classification mushroom 327 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 40619.9813, mean_prior_absolute_error: 0.4994, number_of_instances: 40620, precision: 1, predictive_accuracy: 1, prior_entropy: 0.9991, recall: 1, root_mean_prior_squared_error: 0.4997, scimark_benchmark: 906.0979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.999, kappa: 0.998, kb_relative_information_score: 38992.3884, mean_absolute_error: 0.0257, mean_prior_absolute_error: 0.4994, number_of_instances: 40620, precision: 0.999, predictive_accuracy: 0.999, prior_entropy: 0.9991, recall: 0.999, relative_absolute_error: 0.0514, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.0596, root_relative_squared_error: 0.1193, scimark_benchmark: 972.587, usercpu_time_millis: 260, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 250,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9989, kappa: 0.9977, kb_relative_information_score: 39184.8508, mean_absolute_error: 0.0227, mean_prior_absolute_error: 0.4994, number_of_instances: 40620, precision: 0.9989, predictive_accuracy: 0.9989, prior_entropy: 0.9991, recall: 0.9989, relative_absolute_error: 0.0455, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.0549, root_relative_squared_error: 0.1099, scimark_benchmark: 851.2074, usercpu_time_millis: 7480, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 7470,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9997, kappa: 0.9994, kb_relative_information_score: 40593.9729, mean_absolute_error: 0.0003, mean_prior_absolute_error: 0.4994, number_of_instances: 40620, precision: 0.9997, predictive_accuracy: 0.9997, prior_entropy: 0.9991, recall: 0.9997, relative_absolute_error: 0.0007, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.0136, root_relative_squared_error: 0.0271, scimark_benchmark: 934.695,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9997, kappa: 0.9994, kb_relative_information_score: 40593.9729, mean_absolute_error: 0.0003, mean_prior_absolute_error: 0.4994, number_of_instances: 40620, precision: 0.9997, predictive_accuracy: 0.9997, prior_entropy: 0.9991, recall: 0.9997, relative_absolute_error: 0.0007, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.0136, root_relative_squared_error: 0.0271, scimark_benchmark: 934.695,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9996, kappa: 0.9991, kb_relative_information_score: 40510.5475, mean_absolute_error: 0.0016, mean_prior_absolute_error: 0.4994, number_of_instances: 40620, precision: 0.9996, predictive_accuracy: 0.9996, prior_entropy: 0.9991, recall: 0.9996, relative_absolute_error: 0.0031, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.0218, root_relative_squared_error: 0.0435, scimark_benchmark: 941.6675, usercpu_time_millis: 260, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 250,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9997, kappa: 0.9994, kb_relative_information_score: 40593.9729, mean_absolute_error: 0.0003, mean_prior_absolute_error: 0.4994, number_of_instances: 40620, precision: 0.9997, predictive_accuracy: 0.9997, prior_entropy: 0.9991, recall: 0.9997, relative_absolute_error: 0.0007, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.0136, root_relative_squared_error: 0.0271, scimark_benchmark: 905.2959,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 40545.4257, mean_absolute_error: 0.0012, mean_prior_absolute_error: 0.4994, number_of_instances: 40620, precision: 1, predictive_accuracy: 1, prior_entropy: 0.9991, recall: 1, relative_absolute_error: 0.0025, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.0081, root_relative_squared_error: 0.0161, scimark_benchmark: 931.771, usercpu_time_millis: 480, usercpu_time_millis_testing: 130, usercpu_time_millis_training: 350,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9948, f_measure: 0.995, kappa: 0.9899, kb_relative_information_score: 40211.2203, mean_absolute_error: 0.005, mean_prior_absolute_error: 0.4994, number_of_instances: 40620, precision: 0.995, predictive_accuracy: 0.995, prior_entropy: 0.9991, recall: 0.995, relative_absolute_error: 0.0101, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.0709, root_relative_squared_error: 0.1418, scimark_benchmark: 932.438, usercpu_time_millis: 5700, usercpu_time_millis_testing: 1750, usercpu_time_millis_training: 3950,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9997, kappa: 0.9994, kb_relative_information_score: 40593.9729, mean_absolute_error: 0.0003, mean_prior_absolute_error: 0.4994, number_of_instances: 40620, precision: 0.9997, predictive_accuracy: 0.9997, prior_entropy: 0.9991, recall: 0.9997, relative_absolute_error: 0.0007, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.0136, root_relative_squared_error: 0.0271, scimark_benchmark: 974.2014, usercpu_time_millis: 110, usercpu_time_millis_testing: 90, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 40611.0897, mean_absolute_error: 0.0001, mean_prior_absolute_error: 0.4994, number_of_instances: 40620, precision: 1, predictive_accuracy: 1, prior_entropy: 0.9991, recall: 1, relative_absolute_error: 0.0003, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.003, root_relative_squared_error: 0.006, scimark_benchmark: 943.1009, usercpu_time_millis: 4230, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 4190,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 40545.4257, mean_absolute_error: 0.0012, mean_prior_absolute_error: 0.4994, number_of_instances: 40620, precision: 1, predictive_accuracy: 1, prior_entropy: 0.9991, recall: 1, relative_absolute_error: 0.0025, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.0081, root_relative_squared_error: 0.0161, scimark_benchmark: 943.1009, usercpu_time_millis: 480, usercpu_time_millis_testing: 130, usercpu_time_millis_training: 350,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 40619.9813, mean_prior_absolute_error: 0.4994, number_of_instances: 40620, precision: 1, predictive_accuracy: 1, prior_entropy: 0.9991, recall: 1, root_mean_prior_squared_error: 0.4997, scimark_benchmark: 819.5729, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.999, kappa: 0.998, kb_relative_information_score: 38992.3884, mean_absolute_error: 0.0257, mean_prior_absolute_error: 0.4994, number_of_instances: 40620, precision: 0.999, predictive_accuracy: 0.999, prior_entropy: 0.9991, recall: 0.999, relative_absolute_error: 0.0514, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.0596, root_relative_squared_error: 0.1193, scimark_benchmark: 935.2002, usercpu_time_millis: 130, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 120,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9989, kappa: 0.9977, kb_relative_information_score: 39184.8508, mean_absolute_error: 0.0227, mean_prior_absolute_error: 0.4994, number_of_instances: 40620, precision: 0.9989, predictive_accuracy: 0.9989, prior_entropy: 0.9991, recall: 0.9989, relative_absolute_error: 0.0455, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.0549, root_relative_squared_error: 0.1099, scimark_benchmark: 936.2574, usercpu_time_millis: 5960, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 5950,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9948, f_measure: 0.995, kappa: 0.9899, kb_relative_information_score: 40211.2203, mean_absolute_error: 0.005, mean_prior_absolute_error: 0.4994, number_of_instances: 40620, precision: 0.995, predictive_accuracy: 0.995, prior_entropy: 0.9991, recall: 0.995, relative_absolute_error: 0.0101, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.0709, root_relative_squared_error: 0.1418, scimark_benchmark: 935.5664, usercpu_time_millis: 6240, usercpu_time_millis_testing: 1770, usercpu_time_millis_training: 4470,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.998, f_measure: 0.9554, kappa: 0.9106, kb_relative_information_score: 37081.1745, mean_absolute_error: 0.0433, mean_prior_absolute_error: 0.4994, number_of_instances: 40620, precision: 0.9579, predictive_accuracy: 0.9555, prior_entropy: 0.9991, recall: 0.9555, relative_absolute_error: 0.0868, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.1806, root_relative_squared_error: 0.3615, scimark_benchmark: 930.404, usercpu_time_millis: 40, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9997, kappa: 0.9994, kb_relative_information_score: 40593.9729, mean_absolute_error: 0.0003, mean_prior_absolute_error: 0.4994, number_of_instances: 40620, precision: 0.9997, predictive_accuracy: 0.9997, prior_entropy: 0.9991, recall: 0.9997, relative_absolute_error: 0.0007, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.0136, root_relative_squared_error: 0.0271, scimark_benchmark: 930.404, usercpu_time_millis: 90, usercpu_time_millis_testing: 80, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9996, kappa: 0.9991, kb_relative_information_score: 40510.5475, mean_absolute_error: 0.0016, mean_prior_absolute_error: 0.4994, number_of_instances: 40620, precision: 0.9996, predictive_accuracy: 0.9996, prior_entropy: 0.9991, recall: 0.9996, relative_absolute_error: 0.0031, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.0218, root_relative_squared_error: 0.0435, scimark_benchmark: 941.4991, usercpu_time_millis: 280, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 270,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9992, kappa: 0.9984, kb_relative_information_score: 40410.1093, mean_absolute_error: 0.0032, mean_prior_absolute_error: 0.4994, number_of_instances: 40620, precision: 0.9992, predictive_accuracy: 0.9992, prior_entropy: 0.9991, recall: 0.9992, relative_absolute_error: 0.0065, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.0249, root_relative_squared_error: 0.0497, scimark_benchmark: 906.0979, usercpu_time_millis: 1101100, usercpu_time_millis_testing: 69010, usercpu_time_millis_training: 1032090,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 40611.0897, mean_absolute_error: 0.0001, mean_prior_absolute_error: 0.4994, number_of_instances: 40620, precision: 1, predictive_accuracy: 1, prior_entropy: 0.9991, recall: 1, relative_absolute_error: 0.0003, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.003, root_relative_squared_error: 0.006, scimark_benchmark: 917.5013, usercpu_time_millis: 4300, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 4260,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 40545.4257, mean_absolute_error: 0.0012, mean_prior_absolute_error: 0.4994, number_of_instances: 40620, precision: 1, predictive_accuracy: 1, prior_entropy: 0.9991, recall: 1, relative_absolute_error: 0.0025, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.0081, root_relative_squared_error: 0.0161, scimark_benchmark: 901.4991, usercpu_time_millis: 480, usercpu_time_millis_testing: 140, usercpu_time_millis_training: 340,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 40602.7353, mean_absolute_error: 0.0003, mean_prior_absolute_error: 0.4994, number_of_instances: 40620, precision: 1, predictive_accuracy: 1, prior_entropy: 0.9991, recall: 1, relative_absolute_error: 0.0006, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.0045, root_relative_squared_error: 0.009, scimark_benchmark: 919.9068, usercpu_time_millis: 368770, usercpu_time_millis_testing: 100680, usercpu_time_millis_training: 268090,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9964, f_measure: 0.9605, kappa: 0.9208, kb_relative_information_score: 37186.8978, mean_absolute_error: 0.0447, mean_prior_absolute_error: 0.4994, number_of_instances: 40620, precision: 0.9609, predictive_accuracy: 0.9605, prior_entropy: 0.9991, recall: 0.9605, relative_absolute_error: 0.0896, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.1536, root_relative_squared_error: 0.3074, scimark_benchmark: 926.5859, usercpu_time_millis: 100, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9964, f_measure: 0.9605, kappa: 0.9208, kb_relative_information_score: 37186.8978, mean_absolute_error: 0.0447, mean_prior_absolute_error: 0.4994, number_of_instances: 40620, precision: 0.9609, predictive_accuracy: 0.9605, prior_entropy: 0.9991, recall: 0.9605, relative_absolute_error: 0.0896, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.1536, root_relative_squared_error: 0.3074, scimark_benchmark: 926.5859, usercpu_time_millis: 110, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 90,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9964, f_measure: 0.9605, kappa: 0.9208, kb_relative_information_score: 37186.8978, mean_absolute_error: 0.0447, mean_prior_absolute_error: 0.4994, number_of_instances: 40620, precision: 0.9609, predictive_accuracy: 0.9605, prior_entropy: 0.9991, recall: 0.9605, relative_absolute_error: 0.0896, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.1536, root_relative_squared_error: 0.3074, scimark_benchmark: 894.7131, usercpu_time_millis: 110, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 100,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9964, f_measure: 0.9605, kappa: 0.9208, kb_relative_information_score: 37186.8978, mean_absolute_error: 0.0447, mean_prior_absolute_error: 0.4994, number_of_instances: 40620, precision: 0.9609, predictive_accuracy: 0.9605, prior_entropy: 0.9991, recall: 0.9605, relative_absolute_error: 0.0896, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.1536, root_relative_squared_error: 0.3074, scimark_benchmark: 929.0296, usercpu_time_millis: 50, usercpu_time_millis_training: 50,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9885, f_measure: 0.9813, kappa: 0.9625, kb_relative_information_score: 34445.3556, mean_absolute_error: 0.0922, mean_prior_absolute_error: 0.4994, number_of_instances: 40620, precision: 0.9814, predictive_accuracy: 0.9813, prior_entropy: 0.9991, recall: 0.9813, relative_absolute_error: 0.1846, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.1552, root_relative_squared_error: 0.3105, scimark_benchmark: 936.1714, usercpu_time_millis: 110, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 100,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9975, kappa: 0.995, kb_relative_information_score: 40403.5834, mean_absolute_error: 0.0027, mean_prior_absolute_error: 0.4994, number_of_instances: 40620, precision: 0.9975, predictive_accuracy: 0.9975, prior_entropy: 0.9991, recall: 0.9975, relative_absolute_error: 0.0054, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.0477, root_relative_squared_error: 0.0955, scimark_benchmark: 938.3115, usercpu_time_millis: 1490, usercpu_time_millis_testing: 60, usercpu_time_millis_training: 1430,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9994, f_measure: 0.9892, kappa: 0.9784, kb_relative_information_score: 39664.463, mean_absolute_error: 0.0119, mean_prior_absolute_error: 0.4994, number_of_instances: 40620, precision: 0.9893, predictive_accuracy: 0.9892, prior_entropy: 0.9991, recall: 0.9892, relative_absolute_error: 0.0238, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.0977, root_relative_squared_error: 0.1956, scimark_benchmark: 936.1714, usercpu_time_millis: 800, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 760,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 40545.4257, mean_absolute_error: 0.0012, mean_prior_absolute_error: 0.4994, number_of_instances: 40620, precision: 1, predictive_accuracy: 1, prior_entropy: 0.9991, recall: 1, relative_absolute_error: 0.0025, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.0081, root_relative_squared_error: 0.0161, scimark_benchmark: 1367.3264, usercpu_time_millis: 390, usercpu_time_millis_testing: 90, usercpu_time_millis_training: 300,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9996, kappa: 0.9991, kb_relative_information_score: 40510.5475, mean_absolute_error: 0.0016, mean_prior_absolute_error: 0.4994, number_of_instances: 40620, precision: 0.9996, predictive_accuracy: 0.9996, prior_entropy: 0.9991, recall: 0.9996, relative_absolute_error: 0.0031, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.0218, root_relative_squared_error: 0.0435, scimark_benchmark: 1328.1785, usercpu_time_millis: 160, usercpu_time_millis_training: 160,
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Metric:

Timeline

Plotting contribution timeline

Leaderboard

Rank Name Top Score Entries Highest rank

Note: The leaderboard ignores resubmissions of previous solutions, as well as parameter variations that do not improve performance.

Challenge

In supervised classification, you are given an input dataset in which instances are labeled with a certain class. The goal is to build a model that predicts the class for future unlabeled instances. The model is evaluated using a train-test procedure, e.g. cross-validation.

To make results by different users comparable, you are given the exact train-test folds to be used, and you need to return at least the predictions generated by your model for each of the test instances. OpenML will use these predictions to calculate a range of evaluation measures on the server.

You can also upload your own evaluation measures, provided that the code for doing so is available from the implementation used. For extremely large datasets, it may be infeasible to upload all predictions. In those cases, you need to compute and provide the evaluations yourself.

Optionally, you can upload the model trained on all the input data. There is no restriction on the file format, but please use a well-known format or PMML.

Given inputs

Expected outputs

evaluations A list of user-defined evaluations of the task as key-value pairs. KeyValue (optional)
model A file containing the model built on all the input data. File (optional)
predictions The desired output format Predictions (optional)

How to submit runs

Using your favorite machine learning environment

Download this task directly in your environment and automatically upload your results

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From your own software

Use one of our APIs to download data from OpenML and upload your results

OpenML APIs